AVP, Senior Data Engineer

Job Description:

Role Summary/Purpose:

We are looking for a Senior Data Engineer to provide technical leadership for the development of Big Data applications supporting key business domains. In this role you will be an integral part of an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in technology solutions at Synchrony.

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Responsible for design, development, testing oversight and production implementation using Spark, Hive, Kafka, Scala, Python, SQL & AWS.

• Partner with Credit architects and product management on solution requirements to design solutions.

• Lead the technical team to ensure appropriate data solutions to meet business goals as well as identify and define necessary system and process enhancements.

• Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Team Members in a Scaled Agile framework.  

• Analyze production defects, troubleshoot and identify the root cause and implement fixes.

• Collaborate with data engineering team members to promote Synchrony values and culture.

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Bachelor's degree and a minimum of 4 years of experience in Technology in the consumer banking industry OR in lieu of a Bachelor's Degree, a High School Diploma\GED and a minimum of 6 years or experience in Technology 

• Experience with large scale Big Data environments such as Hortonworks/Cloudera and/or public cloud (AWS preferred).

• Strong experience and deep understanding of ETL, data warehousing, data lake technologies (Hadoop & Spark) and analytics concepts.

• Strong engineering skills in the following technologies:  Spark, Hive, Kafka, Scala, Python, SQL, AWS

• Experience with batch and real-time data pipelines in a DevOps environment. 

• Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.

• Ability to develop and maintain strong collaborative working relationships with Technology and Business Stakeholders.

• Excellent written and oral communication skills. Adept and presenting complex topics executing with timely / actionable follow-through.

• Perform other duties and/or special projects as assigned. ​

Desired Characteristics:

• AWS

• Prior work experience in a Credit card/Banking/Fin tech companies.  

• Experience dealing with sensitive data in a highly regulated environment.

• Experience with data visualization technologies such as Tableau

• Experience with APIs/Microservices in data-driven applications

• Demonstrated implementation of complex and innovative solutions.

• Articles and publications in the field of data engineering.

• Be the captain of the team, lead by example, motivate, and work together as a team.

Grade/Level: 10

The salary range for this position is 100,000.00 - 170,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Eligibility Requirements:

• You must be 18 years or older

• You must have a high school diploma or equivalent

• You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

• You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

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